Harmony Search Based Parameter Ensemble Adaptation for Differential Evolution by Rammohan Mallipeddi

“…In differential evolution (DE) algorithm, depending on the characteristics of the problem at hand and the available computational resources, different strategies combined with a different set of parameters may be effective. …”
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Differential Evolution with Novel Mutation and Adaptive Crossover Strategies for Solving Large Scale Global Optimization Problems by Ali Wagdy Mohamed, Abdulaziz S. Almazyad

“…This paper presents Differential Evolution algorithm for solving high-dimensional optimization problems over continuous space. …”
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Improved Parallel Differential Evolution Algorithm with Small Population for Multi-Period Optimal Dispatch Problem of Microgrids by Tianle Li, Yifei Li, Fang Wang, Cheng Gong, Jingrui Zhang, Hao Ma

“…In the new approach, the main population of the parallel algorithm is divided into several small populations, and each performs the original operators of a differential evolution algorithm, i.e., mutation, crossover, and selection, in different processes concurrently. …”
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A two phase differential evolution algorithm with perturbation and covariance matrix for PEMFC parameter estimation challenges by Mohammad Aljaidi, Pradeep Jangir, Arpita, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, G. Gulothungan, Ali Fayez Alkoradees, Mohammad Khishe

“…In this study, a novel algorithm PCM-DE, based on the Differential Evolution framework, is proposed. …”
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Parameter Identification in Triple-Diode Photovoltaic Modules Using Hybrid Optimization Algorithms by Dhiaa Halboot Muhsen, Haider Tarish Haider, Yaarob Al-Nidawi

“…Seven different experimental data sets are used to improve the performance of the proposed differential evolution with an integrated mutation per iteration algorithm (DEIMA). …”
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An Actor–Critic-Based Hyper-Heuristic Autonomous Task Planning Algorithm for Supporting Spacecraft Adaptive Space Scientific Exploration by Junwei Zhang, Liangqing Lyu

“…Based on this requirement, this paper proposes an actor–critic-based hyper-heuristic autonomous mission planning algorithm, which is used for mission planning and execution at different levels to support spacecraft Adaptive Space Scientific Exploration in deep space environments. …”
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Bayesian network structure learning algorithm based on hybrid binary salp swarm-differential evolution algorithm by Bin LIU, Ruixing FAN, Haoran LIU, Liyue ZHANG, Haiyu WANG, Chunlan ZHANG

“…Aiming at the disadvantages of Bayesian network structure learned by heuristic algorithms,which were trapping in local minimums and having low search efficiency,a method of learning Bayesian network structure based on hybrid binary slap swarm-differential evolution algorithm was proposed.An adaptive scale factor was used to balance local and global search in the swarm grouping stage.The improved mutation operator and crossover operator were taken into salp search strategy and differential search strategy respectively to renew different subswarms in the update stage.Two-point mutation operator was adopted to improve the swarm’s diversity in the stage of merging of subswarms.The convergence analysis of the proposed algorithm demonstrates that best structure can be found through the iterative search of population.Experimental results show that the convergence accuracy and efficiency of the proposed algorithm are improved compared with other algorithms.…”
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An Experimental Comparison of Self-Adaptive Differential Evolution Algorithms to Induce Oblique Decision Trees by Rafael Rivera-López, Efrén Mezura-Montes, Juana Canul-Reich, Marco-Antonio Cruz-Chávez

“…This study addresses the challenge of generating accurate and compact oblique decision trees using self-adaptive differential evolution algorithms. Although traditional decision tree induction methods create explainable models, they often fail to achieve optimal classification accuracy. …”
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An adaptive differential evolution algorithm using fitness distance correlation and neighbourhood-based mutation strategy by Wei Li, Yafeng Sun, Ying Huang, Jianbing Yi

“…However, the DE algorithm mainly focuses on strengthening the adaptability of exploitation, which allows the sensitivity of the DE algorithm to be solved in cases where the effects of solving various types of problems are quite different. …”
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Multi-Strategy-Assisted Hybrid Crayfish-Inspired Optimization Algorithm for Solving Real-World Problems by Wenzhou Lin, Yinghao He, Gang Hu, Chunqiang Zhang

Subjects: “…crawfish optimization algorithm…”
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Multi-objective Optimization for Hybrid Power System based on the Differential Evolution Algorithm by Deng Tao, Lin Chunsong, Li Ya’nan, Lu Renzhi

“…Considering the disadvantages of energy management multi- objectives optimization for hybrid electric vehicle（ HEV） which usually adopts weighted sum method,by using the Pareto optimum algorithm,based on non- dominated sorting method to deal with the fuel economy and emissions（ CO,NOxand HC） evaluation indexes,then a new adaptive differential evolution algorithm is proposed and simulated which can be applied to multi- objective optimization of HEV energy management. …”
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A Modified Multiobjective Self-Adaptive Differential Evolution Algorithm and Its Application on Optimization Design of the Nuclear Power System by Yunjia Yang, Shinian Peng, Li Zhu, Dan Zhang, Zhifang Qiu, Hongsheng Yuan, Lin Xian

“…A modified multiobjective self-adaptive differential evolution algorithm (MMOSADE) is presented in this paper to improve the accuracy of multiobjective optimization design in the nuclear power system. …”
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An Improved Human Evolution Optimization Algorithm for Unmanned Aerial Vehicle 3D Trajectory Planning by Xue Wang, Shiyuan Zhou, Zijia Wang, Xiaoyun Xia, Yaolong Duan

“…Second, recognizing the sensitivity of population diversity to Logistic Chaotic Mapping in a traditional Human Evolution Optimization Algorithm (HEOA), an opposition-based learning strategy is employed to uniformly initialize the population distribution, thereby enhancing the algorithm’s global optimization capability. …”
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Collision Avoidance for Unmanned Surface Vehicles in Multi-Ship Encounters Based on Analytic Hierarchy Process–Adaptive Differential Evolution Algorithm by Zhongming Xiao, Baoyi Hou, Jun Ning, Bin Lin, Zhengjiang Liu

“…This study proposes an adaptive differential evolution algorithm model integrated with the analytic hierarchy process (AHP-ADE). …”
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A study of adaptive population sizing in a self-adaptive differential evolution by Haldi Budiman, Shir Li Wang, Theam Foo Ng, Amr S. Ghoneim, Haidi Ibrahim, Bahbibi Rahmatullah

“…This work investigates the adaptation of population sizing of a self-adaptive differential evolution algorithm called Self-Adaptive Ensemble-based DE with Enhanced Population Sizing (SAEDE-EP). …”
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Flower fertilization optimization algorithm with application to adaptive controllers by Hazim Albedran, Shaymaa Alsamia, Edina Koch

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Nature-inspired adaptive differential evolution: A unified meta-heuristic framework for complex engineering optimisation and UAV path planning by Shijie Fan, Ruichen Wang, Yang Song, David Crosbee, Kang Su

“…Drawing on the principles of biological evolution, collective behaviours within populations, and the self-regulation mechanisms of ecosystems, the proposed algorithm is termed Nature-Inspired Adaptive Differential Evolution (NIADE). …”
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Self-learning differential evolution algorithm for dynamic polycentric problems by Xing-bao LIU, Jian-ping YIN, Chun-hua HU, Rong-yuan CHEN

“…A novel self-learning differential evolution algorithm is proposed to solve dynamical multi-center optimization problems.The approach of re-evaluating some specific individuals is used to monitor environmental changes.The proposed self-learning operator guides the evolutionary group to a new environment,meanwhile maintains the stable topology structure of group to maintain the current evolutionary trend.A neighborhood search mechanism and a random immigrant mechanism are adapted to make a tradeoff between algorithmic convergence and population diversity.The experiment studies on a periodic dynamic function set suits are done,and the comparisons with peer algorithms show that the self-learning differential algorithm outperforms other algorithms in term of convergence and adaptability under dynamical environment.…”
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Adaptive dynamic ϵ-simulated annealing algorithm for tumor immunotherapy by Xiaoyan Sun, Xiaoyan Sun, Ying Jiang

“…The algorithm is applied to an improved tumor immunotherapy model (ITIT), formulated using ordinary differential equations (ODEs) based on established experimental and clinical studies. …”
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Adaptive Quantum-Inspired Evolution for Denoising PCG Signals in Unseen Noise Conditions by Lubna Siddiqui, Ashish Mani, Jaspal Singh

“…This study investigates a novel Quantum-inspired Evolutionary Algorithm (QiEA) for denoising phonocardiogram signals using a fractional-order digital differentiator FIR filter (FODD). …”
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